Worked on the mne-tools/mne-python repository to improve EEG data processing workflows by addressing a documentation-driven bug related to average referencing. Focused on clarifying the correct use of the add_reference_channels function, the update emphasized the necessity of including the original reference electrode to ensure accurate results. This change, implemented in Python, targeted common misconfigurations and enhanced reproducibility for researchers handling EEG signals. The work involved close attention to documentation quality and signal processing best practices, contributing to more reliable user guidance. Collaboration with other contributors and adherence to project standards were demonstrated through a documentation-only change with practical impact.